if (isDirected()) {
      return IntMath.saturatedAdd(predecessors(node).size(), successors(node).size());
    } else {
      Set<N> neighbors = adjacentNodes(node);
      int selfLoopCount = (allowsSelfLoops() && neighbors.contains(node)) ? 1 : 0;
      return IntMath.saturatedAdd(neighbors.size(), selfLoopCount);
    }
  }

  @Override
  public int inDegree(N node) {

          }
          // halfway between the representable values; do the half-whatever logic
          switch (mode) {
            case HALF_EVEN:
              // roundFloorAsDouble and roundCeilingAsDouble are neighbors, so precisely
              // one of them should have an even long representation
              return ((Double.doubleToRawLongBits(roundFloorAsDouble) & 1L) == 0)
                  ? roundFloorAsDouble

            return EndpointPair.unordered(requireNonNull(node), otherNode);
          }
        }
        // Add to visited set *after* processing neighbors so we still include self-loops.
        visitedNodes.add(node);
        if (!advance()) {
          visitedNodes = null;
          return endOfData();
        }
      }
    }
  }

shoulders, that all the jurors were writing down `stupid things!'
on their slates, and she could even make out that one of them
didn't know how to spell `stupid,' and that he had to ask his
neighbour to tell him.  `A nice muddle their slates'll be in
before the trial's over!' thought Alice.

  One of the jurors had a pencil that squeaked.  This of course,
Alice could not stand, and she went round the court and got

shoulders, that all the jurors were writing down `stupid things!'
on their slates, and she could even make out that one of them
didn't know how to spell `stupid,' and that he had to ask his
neighbour to tell him.  `A nice muddle their slates'll be in
before the trial's over!' thought Alice.

  One of the jurors had a pencil that squeaked.  This of course,
Alice could not stand, and she went round the court and got

        `tf.contrib.saved_model.save_keras_model`.
    *   `LinearOperator.matmul` now returns a new `LinearOperator`.
*   New ops and improved op functionality
    *   Add a Nearest Neighbor Resize op.
    *   Add an `ignore_unknown` argument to `parse_values` which suppresses
        ValueError for unknown hyperparameter types. Such * Add
        `tf.linalg.matvec` convenience function.